Tomoki Nishida

1.0k citations
44 papers · 735 · h-index 13

Impact in

Papers in

    • Protist diversity and phylogeny 7
    • Signaling Pathways in Disease 3
    • Microtubule and mitosis dynamics 7
    • Cellular transport and secretion 3

Tomoki Nishida

42 papers receiving 723 citations

Peers

Tomoki Nishida
Comparison fields: 5 of 116
  • Cell Biology 249
  • Structural Biology 15
  • Genetics 222
  • Molecular Biology 400
  • Biophysics 18
Replace Didier Portran with:
Didier Portran France
Weining Yin United States
Kaifeng Zhou China
Christian Bächer Germany
Marie‐Christine Lainé France
Murat Kekic Australia
Nadine Tarantino France
Toshiyuki Oda Japan
Tomohiro Kubo Japan
Pascale Dupuis‐Williams France
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Citations per field
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Citations per year

Countries citing papers authored by Tomoki Nishida

Since Specialization
Citations

This map shows the geographic impact of Tomoki Nishida's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tomoki Nishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoki Nishida more than expected).

Fields of papers citing papers by Tomoki Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoki Nishida. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tomoki Nishida. The network helps show where Tomoki Nishida may publish in the future.

Co-authors

The 25 scholars most cited alongside Tomoki Nishida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomoki Nishida Line = papers co-authored together Tomoki Nishida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012158
2 2013106
3 201367
4 201550
5 201344
6 201729
7 201528
8 201623
9 201620
10 201318
11 201515
12
The effects of combined treatments with low hyperthermia and bleomycin on survivals of murine L cells.
199714
13 201513
14 202112
15 199511
16 201711
17 200711
18 20169
19 20149
20 20168

About Tomoki Nishida

Tomoki Nishida is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 44 papers that have together received 735 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (7 papers), Microtubule and mitosis dynamics (7 papers), Protist diversity and phylogeny (7 papers), Signaling Pathways in Disease (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Microbial Community Ecology and Physiology (3 papers), Cellular transport and secretion (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Cell Biology (249 citations), Structural Biology (15 citations), Genetics (222 citations), Molecular Biology (400 citations) and Biophysics (18 citations). Tomoki Nishida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Sachiko Tsukita, Toshiaki Hasegawa, Yuji Yamazaki, Hiroaki Ishikawa, Hiroshi Hamada, Kyosuke Shinohara, Koshi Kunimoto, Kazuhiro Tateishi, David M. Parichy and Shigeru Kondo. Their work appears in journals such as Scientific Reports, Cell and Tissue Research, Microscopy, The Journal of Cell Biology and Development.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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